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8 votes
1 answer
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Transitioning from pure mathematics to applied mathematics/machine learning

I recently completed a doctorate in pure mathematics. While in the program, I decided that research was not my ultimate goal/calling. Applied mathematics and machine learning seemed to grab my ...
1 vote
1 answer
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What subjects of Fourier analysis have had more effect on machine learning? [closed]

What is the salient uses of Fourier analysis in machine learning? What subjects of Fourier analysis have had more effect on machine learning? Please mention the references.
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1 vote
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PageRank in directed graphs: equivalence of iterative and eigenvalue methods

Given a directed graph $ G $ with $ n $ nodes, we can represent this graph using an adjacency matrix $ A $. The stochastic matrix $ S $ can be derived from the adjacency matrix using the following ...
ABB's user avatar
  • 4,058
1 vote
0 answers
78 views

Bayesian inference of stochastically evolving model parameters

I have a question related to self-calibration in radio interferometry, but I will try to phrase it as generic as possible. I have a set of data points, $D = \{ d_{0, t_0}, d_{1, t_0}, ..., d_{M, t_0}, ...
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